{"title":"鲁棒汽车排序问题:描述、模型和度量","authors":"Joaquín Bautista-Valhondo","doi":"10.37610/DYO.V0I68.555","DOIUrl":null,"url":null,"abstract":"The concept of partial demand uncertainty is introduced from the car sequencing problem (CSP) and incorporates special vehicle fleets in a demand plan. After establishing the working hypotheses with fleets, a mixed integer linear programming model, robust car sequencing problem (r-CSP), is proposed to satisfy the maximum number of CSP restrictions. Subsequently, multi-sequence production and metrics to evaluate its robustness are defined. The r-CSP considers various demand scenarios and functions to measure the excess of optional requirements in production programs. These functions are valid as objectives in optimization problems and as multi-sequence pro-duction robustness metrics. Keywords : Assembly lines, Sequencing, Car Sequencing Problem, Vehicle Fleets, Robust Optimization, Production Mix, Demand uncertainty.","PeriodicalId":166318,"journal":{"name":"Dirección y Organización","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Robust Car Sequencing Problem: Description, models and metrics\",\"authors\":\"Joaquín Bautista-Valhondo\",\"doi\":\"10.37610/DYO.V0I68.555\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The concept of partial demand uncertainty is introduced from the car sequencing problem (CSP) and incorporates special vehicle fleets in a demand plan. After establishing the working hypotheses with fleets, a mixed integer linear programming model, robust car sequencing problem (r-CSP), is proposed to satisfy the maximum number of CSP restrictions. Subsequently, multi-sequence production and metrics to evaluate its robustness are defined. The r-CSP considers various demand scenarios and functions to measure the excess of optional requirements in production programs. These functions are valid as objectives in optimization problems and as multi-sequence pro-duction robustness metrics. Keywords : Assembly lines, Sequencing, Car Sequencing Problem, Vehicle Fleets, Robust Optimization, Production Mix, Demand uncertainty.\",\"PeriodicalId\":166318,\"journal\":{\"name\":\"Dirección y Organización\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Dirección y Organización\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37610/DYO.V0I68.555\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dirección y Organización","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37610/DYO.V0I68.555","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robust Car Sequencing Problem: Description, models and metrics
The concept of partial demand uncertainty is introduced from the car sequencing problem (CSP) and incorporates special vehicle fleets in a demand plan. After establishing the working hypotheses with fleets, a mixed integer linear programming model, robust car sequencing problem (r-CSP), is proposed to satisfy the maximum number of CSP restrictions. Subsequently, multi-sequence production and metrics to evaluate its robustness are defined. The r-CSP considers various demand scenarios and functions to measure the excess of optional requirements in production programs. These functions are valid as objectives in optimization problems and as multi-sequence pro-duction robustness metrics. Keywords : Assembly lines, Sequencing, Car Sequencing Problem, Vehicle Fleets, Robust Optimization, Production Mix, Demand uncertainty.